Build vs. Buy: What Makes Sense for Data Annotation?

Companies developing AI face a critical decision regarding whether to build their own data annotation infrastructure or buy a third-party solution. Building an in-house system provides complete control and customization but demands significant investment in engineering, tooling, and workforce management. Conversely, purchasing a solution from a specialized vendor can dramatically accelerate project timelines and offer access to advanced technology and expertise. Ultimately, the best path depends on a company's specific budget, the complexity of its data, and the required speed to market.